
Symplectic GARK methods for Hamiltonian systems
Generalized Additive RungeKutta schemes have shown to be a suitable too...
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A unified formulation of splittingbased implicit time integration schemes
Splittingbased time integration approaches such as fractional steps, al...
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Multifidelity Ensemble Kalman Filtering using surrogate models defined by PhysicsInformed Autoencoders
The multifidelity ensemble Kalman filter aims to combine a fullorder mo...
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Multirate LinearlyImplicit GARK Schemes
Many complex applications require the solution of initialvalue problems...
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Linearly Implicit Multistep Methods for Time Integration
Time integration methods for solving initial value problems are an impor...
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A fast timestepping strategy for ODE systems equipped with a surrogate model
Simulation of complex dynamical systems arising in many applications is ...
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Linearly implicit GARK schemes
Systems driven by multiple physical processes are central to many areas ...
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A Multifidelity Ensemble Kalman Filter with Reduced Order Control Variates
This work develops a new multifidelity ensemble Kalman filter (MFEnKF) a...
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Convergence Results for Implicit–Explicit General Linear Methods
This paper studies fixedstep convergence of implicitexplicit general l...
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An Explicit Probabilistic Derivation of Inflation in a Scalar Ensemble Kalman Filter for Finite Step, Finite Ensemble Convergence
This paper uses a probabilistic approach to analyze the converge of an e...
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A Stochastic Covariance Shrinkage Approach in Ensemble Transform Kalman Filtering
Operational Ensemble Kalman Filtering (EnKF) methods rely on modelspeci...
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Parallel implicitexplicit general linear methods
Highorder discretizations of partial differential equations (PDEs) nece...
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Goaloriented a posteriori estimation of numerical errors in the solution of multiphysics systems
This paper develops a general methodology for a posteriori error estimat...
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Efficient implementation of partitioned stiff exponential RungeKutta methods
Multiphysics systems are driven by multiple processes acting simultaneou...
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Implicit multirate GARK methods
This work considers multirate generalizedstructure additively partition...
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Adaptive KrylovType Time Integration Methods
The RosenbrockKrylov family of time integration schemes is an extension...
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Biorthogonal RosenbrockKrylov time discretization methods
Many scientific applications require the solution of large initialvalue...
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Partitioned Exponential Methods for Coupled Multiphysics Systems
Multiphysics problems involving two or more coupled physical phenomena a...
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Alternating Directions Implicit Integration in a General Linear Method Framework
Alternating Directions Implicit (ADI) integration is an operator splitti...
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ODE Test Problems: a MATLAB suite of initial value problems
ODE Test Problems (OTP) is an objectoriented MATLAB package offering a ...
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Coupled Multirate Infinitesimal GARK Schemes for Stiff Systems with Multiple Time Scales
Differential equations derived from many realworld applications are dom...
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A Bayesian Approach to Multivariate Adaptive Localization in EnsembleBased Data Assimilation with TimeDependent Extensions
Ever since its inception, the Ensemble Kalman Filter has elicited many h...
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A Class of Multirate Infinitesimal GARK Methods
Differential equations arising in many practical applications are charac...
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Design of HighOrder Decoupled Multirate GARK Schemes
Multirate time integration methods apply different step sizes to resolve...
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A Learning Based Approach for Uncertainty Analysis in Numerical Weather Prediction Models
Complex numerical weather prediction models incorporate a variety of phy...
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A Machine Learning Approach to Adaptive Covariance Localization
Data assimilation plays a key role in largescale atmospheric weather fo...
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DATeS: A HighlyExtensible Data Assimilation Testing Suite v1.0
A flexible and highlyextensible data assimilation testing suite, named ...
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DATeS: A HighlyExtensible Data Assimilation Testing Suite
A flexible and highlyextensible data assimilation testing suite, named ...
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Solving Parameter Estimation Problems with Discrete Adjoint Exponential Integrators
The solution of inverse problems in a variational setting finds best est...
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EPIRKW and EPIRKK time discretization methods
Exponential integrators are special time discretization methods where th...
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Multivariate predictions of local reducedordermodel errors and dimensions
This paper introduces multivariate inputoutput models to predict the er...
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Robust data assimilation using L_1 and Huber norms
Data assimilation is the process to fuse information from priors, observ...
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Adrian Sandu
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